scholarly journals Pulmonary Microbiome of Patients Receiving Mechanical Ventilation: Changes Over Time

2021 ◽  
Vol 30 (2) ◽  
pp. 128-132
Author(s):  
Mary Lou Sole ◽  
Shibu Yooseph ◽  
Steven Talbert ◽  
Bassam Abomoelak ◽  
Chirajyoti Deb ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Prolonged Mechanical Ventilation ◽  
Intervention Group ◽  
Shannon Index ◽  
Control Group ◽  
Rrna Gene ◽  
Bacterial Taxonomy ◽  
Β Diversity ◽  
Α Diversity ◽  
Over Time

Background Interest in the pulmonary microbiome is growing, particularly in patients undergoing mechanical ventilation. Objectives To explore the pulmonary microbiome over time in patients undergoing prolonged mechanical ventilation and to evaluate the effect of an oral suctioning intervention on the microbiome. Methods This descriptive subanalysis from a clinical trial involved a random sample of 16 participants (7 intervention, 9 control) who received mechanical ventilation for at least 5 days. Five paired oral and tracheal specimens were evaluated for each participant over time. Bacterial DNA from the paired specimens was evaluated using 16S rRNA gene sequencing. Bacterial taxonomy composition, α-diversity (Shannon index), and β-diversity (Morisita-Horn index) were calculated and compared within and between participants. Results Participants were predominantly male (69%) and White (63%), with a mean age of 58 years, and underwent mechanical ventilation for a mean of 9.36 days. Abundant bacterial taxa included Prevotella, Staphylococcus, Streptococcus, Stenotrophomonas, and Veillonella. Mean tracheal α-diversity decreased over time for the total group (P = .002) and the control group (P = .02). β-Diversity was lower (P = .04) in the control group (1.905) than in the intervention group (2.607). Conclusions Prolonged mechanical ventilation was associated with changes in the pulmonary microbiome, with the control group having less diversity. The oral suctioning intervention may have reduced oral-tracheal bacterial transmission.

scholarly journals The Dynamics of Respiratory Microbiota during Mechanical Ventilation in Patients with Pneumonia

2020 ◽  
Vol 9 (3) ◽  
pp. 638 ◽  
Author(s):  
Seongji Woo ◽  
So-Yeong Park ◽  
Youngmi Kim ◽  
Jin Pyeong Jeon ◽  
Jae Jun Lee ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Intensive Care ◽  
Clinical Outcomes ◽  
Extubation Failure ◽  
Shannon Index ◽  
Β Diversity ◽  
Α Diversity ◽  
Significant Difference ◽  
Respiratory Microbiome ◽  
Successful Extubation

Bacterial pneumonia is a major cause of mechanical ventilation in intensive care units. We hypothesized that the presence of particular microbiota in endotracheal tube aspirates during the course of intubation was associated with clinical outcomes such as extubation failure or 28-day mortality. Sixty mechanically ventilated ICU (intensive care unit) patients (41 patients with pneumonia and 19 patients without pneumonia) were included, and tracheal aspirates were obtained on days 1, 3, and 7. Gene sequencing of 16S rRNA was used to measure the composition of the respiratory microbiome. A total of 216 endotracheal aspirates were obtained from 60 patients. A total of 22 patients were successfully extubatedwithin3 weeks, and 12 patients died within 28days. Microbiota profiles differed significantly between the pneumonia group and the non-pneumonia group (Adonis, p < 0.01). While α diversity (Shannon index) significantly decreased between day 1 and day 7 in the successful extubation group, it did not decrease in the failed extubation group among intubated patients with pneumonia. There was a significant difference in the change of βdiversity between the successful extubation group and the failed extubation group for Bray-Curtis distances (p < 0.001). At the genus level, Rothia, Streptococcus, and Prevotella correlated with the change of β diversity. A low relative abundance of Streptococci at the time of intubation was strongly associated with 28-day mortality. The dynamics of respiratory microbiome were associated with clinical outcomes such as extubation failure and mortality. Further large prospective studies are needed to test the predictive value of endotracheal aspirates in intubated patients.

Gut microbiome of the emerald ash borer, Agrilus planipennis Fairmaire, and its relationship with insect population density

2020 ◽  
Vol 96 (8) ◽  
Author(s):  
Judith Mogouong ◽  
Philippe Constant ◽  
Robert Lavallée ◽  
Claude Guertin
Keyword(s):  
Population Density ◽  
Gut Microbiome ◽  
Emerald Ash Borer ◽  
Agrilus Planipennis ◽  
Economic Damage ◽  
Taxonomic Structure ◽  
Rrna Gene ◽  
Local Conditions ◽  
Β Diversity ◽  
Α Diversity

ABSTRACT The gut microbial communities of beetles play crucial roles in their adaptive capacities. Environmental factors such as temperature or nutrition naturally affect the insect microbiome, but a shift in local conditions like the population density on a host tree could also lead to changes in the microbiota. The emerald ash borer (EAB), Agrilus planipennis Fairmaire, is an exotic wood borer that causes environmental and economic damage to ash trees in North America. This study aimed to describe the taxonomic structure of the EAB gut microbiome and explore its potential relationship with borer population size. The number of EAB adults collected per tree through a 75 km transect from an epicenter allowed the creation of distinct classes of population density. The Gammaproteobacteria and Ascomycota predominated in bacterial and fungal communities respectively, as determined by sequencing of the bacterial 16S rRNA gene and the fungal internal transcribed spacer ITS2. Species richness and diversity of the bacterial community showed significant dependence on population density. Moreover, α-diversity and β-diversity analysis revealed some indicator amplicon sequence variants suggesting that the plasticity of the gut microbiome could be related to the EAB population density in host trees.

Pilot trial of vitamin D3 and calcifediol in healthy vitamin D deficient adults: does it change the fecal microbiome?

2021 ◽  
Author(s):  
Albert Shieh ◽  
S Melanie Lee ◽  
Venu Lagishetty ◽  
Carter Gottleib ◽  
Jonathan P Jacobs ◽  
...  
Keyword(s):  
Vitamin D ◽  
Vitamin D Deficiency ◽  
Relative Abundance ◽  
Vitamin D3 ◽  
Pilot Trial ◽  
Fecal Microbiota ◽  
Small Sample ◽  
Rrna Gene ◽  
Β Diversity ◽  
Α Diversity

Abstract Purpose To determine whether correcting vitamin D deficiency with cholecalciferol (vitamin D3, D3) or calcifediol (25-hydroxyvitamin D3, 25(OH)D3) changes gut microbiome composition. Methods 18 adults with vitamin D deficiency (25-hydroxyvitamin D [25(OH)D] &lt;20 ng/ml) received 60 mcg/day of D3 or 20 mcg/day of 25(OH)D3 for 8 weeks. Changes in serum 25(OH)D, 1,25-diydroxyvitamin D (1,25(OH)2D), and 24,25-dihydroxyvitamin D (24,25(OH)2D) were assessed. We characterized composition of the fecal microbiota using 16S rRNA gene sequencing, and examined changes in α-diversity (Chao 1, Faith’s Phylogenetic Diversity, Shannon Index), β-diversity (DEICODE), and genus-level abundances (DESeq2). Results Vitamin D3 and 25(OH)D3 groups were similar. After 8 weeks of vitamin D3, mean 25(OH)D and 24,25(OH)2D increased significantly, but 1,25(OH)2D did not (25(OH)D: 17.8 to 30.1 ng/ml [p=0.002]; 24,25(OH)2D: 1.1 to 2.7 ng/ml [p=0.003]; 1,25(OH)2D: 49.5 to 53.0 pg/ml [p=0.9]). After 8 weeks of 25(OH)D3, mean 25(OH)D, 24,25(OH)2D, and 1,25(OH)2D increased significantly (25(OH)D: 16.7 to 50.6 ng/ml [p&lt;0.0001]; 24,25(OH)2D: 1.3 to 6.2 ng/ml [p=0.0001]; 1,25(OH)2D: 56.5 to 74.2 pg/ml [p=0.05]). Fecal microbial α-diversity and β-diversity did not change with D3 or 25D3 supplementation. Mean relative abundance of Firmicutes increased and mean relative abundance of Bacterioidetes decreased from baseline to four weeks, but returned to baseline by study completion. DESeq2 analysis did not confirm any statistically significant taxonomic changes. Main conclusions In a small sample of healthy adults with vitamin D deficiency, restoration of vitamin D sufficiency with vitamin D3 or 25(OH)D3 did not lead to lasting changes in the fecal microbiota.

scholarly journals The Effects of Video Feedback on Coaches’ Behavior and the Coach-Athlete Relationship

2010 ◽  
Vol 4 (4) ◽  
pp. 323-340 ◽  
Author(s):  
Mathieu Simon Paul Meeûs ◽  
Sidónio Serpa ◽  
Bert De Cuyper
Keyword(s):  
Repeated Measures ◽  
Intervention Group ◽  
Video Feedback ◽  
Assessment System ◽  
Control Group ◽  
Positive Effects ◽  
Frequency Table ◽  
Coaching Behavior ◽  
Intervention Condition ◽  
Over Time

This study examined the effects of video feedback on the nonverbal behavior of handball coaches, and athletes’ and coaches’ anxieties and perceptions. One intervention group (49 participants) and one control group (63 participants) completed the Coaching Behavior Assessment System, Coaching Behavior Questionnaire, and Competitive State Anxiety Inventory-2 on two separate occasions, with 7 weeks of elapsed time between each administration. Coaches in the intervention condition received video feedback and a frequency table with a comparison of their personal answers and their team’s answers on the CB AS. Repeated-measures ANOVAs showed that over time, athletes in the intervention group reported significantly less anxiety and perceived their coaches significantly more positively compared with athletes in the nonintervention condition. Over time, coaches in the intervention group perceived themselves significantly more positively than coaches in the nonintervention condition. Compared with field athletes, goalkeepers were significantly more anxious and perceived their coaches less positively. It is concluded that an intervention using video feedback might have positive effects on anxiety and coach perception and that field athletes and goalkeepers possess different profiles.

Internet intervention for increasing physical activity in persons with multiple sclerosis

2010 ◽  
Vol 17 (1) ◽  
pp. 116-128 ◽  
Author(s):  
Robert W Motl ◽  
Deirdre Dlugonski ◽  
Thomas R Wójcicki ◽  
Edward McAuley ◽  
David C Mohr
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Goal Setting ◽  
Cognitive Theory ◽  
Intervention Group ◽  
Internet Intervention ◽  
The Internet ◽  
Control Group ◽  
Significant Change ◽  
Over Time

Background:Physical activity has been associated with improvements in walking mobility and quality of life in persons with multiple sclerosis (MS), and yet this population is largely sedentary and inactive compared with the general population. Objectives:We conducted a pilot, randomized controlled trial (RCT) for examining the effect of an Internet intervention based on social cognitive theory (SCT) for favorably increasing physical activity among persons with MS. We further examined variables from SCT as possible mediators of the Internet intervention. Methods:We randomly allocated 54 persons with MS into either an Internet intervention condition or a waitlist control condition. The participants completed measures of physical activity, self-efficacy, outcome expectations, functional limitations, and goal setting before and after the 12-week period. Results:The intervention group reported a statistically significant ( p = 0.01) and large increase in physical activity over time ( d = 0.72), whereas the control group had a small ( d = 0.04) and non-significant change in physical activity ( p = 0.71). The intervention group further reported a statistically significant ( p = 0.001) and large increase in goal setting over time ( d = 0.97), whereas the control group had a small ( d = −0.13) and non-significant change ( p = 0.17). The change in goal setting over time mediated the effect of the Internet intervention on physical activity behavior. Conclusions:This pilot study sets the stage for a subsequent RCT that includes a larger sample of persons with MS, longer intervention period along with a follow-up, objective measure of physical activity, and secondary outcomes of walking mobility and QOL.

scholarly journals Respiratory Microbiome Profiles Differ by Recent Hospitalization and Nursing Home Residence in Patients on Mechanical Ventilation

2020 ◽  
Author(s):  
Min-gyung Baek ◽  
Seongji Woo ◽  
Nam-Eun Kim ◽  
Chaeyun Baek ◽  
Sungho Won ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Nursing Home ◽  
Nursing Home Residents ◽  
Wilcoxon Test ◽  
University Hospital ◽  
Rrna Gene ◽  
Recent Past ◽  
Unifrac Distance ◽  
Α Diversity

Abstract Background: Healthcare-associated pneumonia (HCAP) is a heterogeneous disease. Previous studies reported that identifying risk factors for HCAP may lead to more accurate predictions of drug-resistant pathogens. We examined new nursing-home- and hospital-associated infections (NHAI) by revising existing HCAP risk factors. Our aim was to determine whether respiratory microbiota profiles are related to newly defined risk factors for NHAI in critically ill patients on mechanical ventilation.Methods: The NHAI group comprised nursing home residents with a poor functional status, or recent (past 90 days) hospitalization or recent (past 180 days) antibiotic therapy. Endotracheal aspirates were prospectively collected from patients in the intensive care unit (ICU) of a university hospital. The 180 endotracheal aspirates from 60 mechanically ventilated ICU patients (NHAI group, n = 24; non-NHAI group, n = 36) were obtained on days 1, 3 and 7. The bacterial community profiles of the endotracheal tube aspirates (ETAs) were explored by 16S rRNA gene sequencing. A phylogenetic-tree-based microbiome association test (TMAT), generalized linear mixed models (GLMMs), the Wilcoxon test and the reference frame method were used to analyze the association between microbiome abundance (number of operational taxonomic units [OTUs]) and disease phenotype.Results: The microbiome analysis revealed significantly lower α-diversity in the NHAI group than in the non-NHAI group. In the analysis of β-diversity, the structure of the microbiome also differed significantly between the two groups (weighted UniFrac distance, Adonis, P <0.001). The abundance of Corynebacterium was significantly higher, and the relative abundances of Granulicatella, Staphylococcus, Streptococcus and Veillonella were significantly lower, in the NHAI than in the non-NHAI group. Conclusions: The microbiota signature of the ETAs distinguished between patients with and without risk factors for NHAI. Thus, the lung microbiome may serve as a biomarker and therapeutic target for intubated patients exposed to nursing home and hospital environments.

scholarly journals Effect of chewing betel nut on the gut microbiota of Hainanese

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258489
Author(s):  
Li Ying ◽  
Yunjia Yang ◽  
Jun Zhou ◽  
Hairong Huang ◽  
Guankui Du
Keyword(s):  
Gut Microbiota ◽  
16S Rrna Gene Sequencing ◽  
Control Group ◽  
Rrna Gene ◽  
Betel Nut ◽  
Positive Effects ◽  
Α Diversity ◽  
Host Health ◽  
Betel Nut Chewing ◽  
Rrna Gene Sequencing

Betel nut chewing (BNC) is prevalent in South Asia and Southeast Asia. BNC can affect host health by modulating the gut microbiota. The aim of this study is to evaluate the effect of BNC on the gut microbiota of the host. Feces samples were obtained from 34 BNC individuals from Ledong and Lingshui, Hainan, China. The microbiota was analyzed by 16S rRNA gene sequencing. BNC decreased the microbial α-diversity. Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were the predominant phyla, accounting for 99.35% of the BNC group. The Firmicutes-to-Bacteroidetes ratio was significantly increased in the BNC group compared to a control group. The abundances of the families Aerococcaceae, Neisseriaceae, Moraxellaceae, Porphyromonadaceae, and Planococcaceae were decreased in the BNC/BNC_Male/BNC_Female groups compared to the control group, whereas the abundances of Coriobacteriaceae, Streptococcaceae, Micrococcaceae, Xanthomonadaceae, Coxiellaceae, Nocardioidaceae, Rhodobacteraceae, and Succinivibrionaceae were increased. In general, the gut microbiome profiles suggest that BNC may have positive effects, such as an increase in the abundance of beneficial microbes and a reduction in the abundance of disease-related microbes. However, BNC may also produce an increase in the abundance of disease-related microbes. Therefore, extraction of prebiotic components could increase the beneficial value of betel nut.

scholarly journals The Danish SoL Project: Effects of a Multi-Component Community-Based Health Promotion Intervention on Prevention of Overweight among 3–8-Year-Old Children

2021 ◽  
Vol 18 (16) ◽  
pp. 8419
Author(s):  
Tine Buch-Andersen ◽  
Frank Eriksson ◽  
Paul Bloch ◽  
Charlotte Glümer ◽  
Bent Egberg Mikkelsen ◽  
...  
Keyword(s):  
Health Promotion ◽  
Intervention Group ◽  
Control Group ◽  
Health Promotion Intervention ◽  
Component Community ◽  
Community Based ◽  
Quasi Experimental ◽  
Z Scores ◽  
And Control ◽  
Over Time

The aim of the study was to determine the effects of a multi-component community-based health promotion intervention on body mass index (BMI) z-scores and waist circumference (WC) in three- to eight-year-old children. A quasi-experimental design was adopted to evaluate the effects of the SoL intervention involving three intervention and three control communities. The 19-month intervention was based on the supersetting approach and was designed to promote healthier eating and physical activity among children and their families. BMI z-scores and WC were measured at baseline and follow-up. At baseline, 238 (54%) and 214 (51%) of all eligible children were measured from intervention and control, respectively. The change over time in the BMI z-scores of children from the intervention group was significantly different from that of the control group (p = 0.001). BMI z-scores increased over time in the intervention group in contrast to the control group, whose BMI z-scores decreased (difference in change between groups 0.19 z-scores 95% CI 0.08, 0.30). No significant differences were observed for WC. The results showed no favourable effects of the intervention of Project SoL on BMI z-scores and WC in children. Further studies based on a larger sample size and a longer intervention duration are needed.

scholarly journals O018 Changes in sleep parameters in children with Down Syndrome following treatment

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A8-A8
Author(s):  
J Chawla ◽  
S Burgess ◽  
H Heussler
Keyword(s):  
Down Syndrome ◽  
Sleep Duration ◽  
Intervention Group ◽  
Sleep Diary ◽  
Control Group ◽  
Sleep Habits ◽  
Post Intervention ◽  
Children With Down Syndrome ◽  
Sleep Parameters ◽  
Over Time

Abstract Introduction There is limited evidence about how sleep changes in children with Down syndrome (DS) following sleep interventions. This study evaluated changes in sleep over time in children receiving treatment comparing to a control group who did not. Methods Children with DS, 3-16yrs, attending the sleep clinic were followed for 24-months. Sleep parameters including parent completed child sleep habits questionnaire (CSHQ), PSG and home sleep diary were obtained pre and post sleep interventions for children undergoing treatment. Data was obtained at similar intervals for the control group who were followed over the same time period. Results Data was obtained for 41 participants, 16 children received an intervention and 25 did not. Interventions included ENT surgery (7), CPAP (4), melatonin (3) or a combination (2). The intervention group had a significantly higher average total CSHQ score overall than those in the control group (0.01). Scores decreased over time but remained higher than in controls throughout, and were clinically significant in both groups (&gt;41). Sleep diary estimated average total sleep duration did not differ between groups and was 10hrs/night. PSG showed improvement in OAHI in those children undergoing pre and post intervention studies. Discussion Evaluation of sleep parameters in this referred cohort of children with Down syndrome demonstrates total sleep duration in keeping with national recommendations and improvement in obstruction with treatment. However, CSHQ results indicate ongoing sleep difficulties reported by parents, despite standard sleep interventions. This may reflect persisting non-respiratory sleep disorders, which are not being adequately addressed at present.

scholarly journals Respiratory microbiome profiles differ by recent hospitalization and nursing home residence in patients on mechanical ventilation

2020 ◽  
Author(s):  
Min-gyung Baek ◽  
Seongji Woo ◽  
Nam-Eun Kim ◽  
Chaeyun Baek ◽  
Sungho Won ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Nursing Home ◽  
Nursing Home Residents ◽  
Wilcoxon Test ◽  
University Hospital ◽  
Rrna Gene ◽  
Recent Past ◽  
Unifrac Distance ◽  
Α Diversity

Abstract Background: Healthcare-associated pneumonia (HCAP) is a heterogeneous disease. We redefined nursing-home- and hospital-associated infections (NHAI) group by revising existing HCAP risk factors. The NHAI group comprised nursing home residents with a poor functional status, or recent (past 90 days) hospitalization or recent (past 180 days) antibiotic therapy. Our aim was to determine whether respiratory microbiota profiles are related to newly defined NHAI group in critically ill patients on mechanical ventilation.Methods: The 180 endotracheal aspirates (ETAs) from 60 mechanically ventilated ICU patients (NHAI group, n = 24; non-NHAI group, n = 36) were prospectively collected on days 1, 3 and 7 in a university hospital. The bacterial community profiles of the ETAs were explored by 16S rRNA gene sequencing. A phylogenetic-tree-based microbiome association test (TMAT), generalized linear mixed models (GLMMs), the Wilcoxon test and the reference frame method were used to analyze the association between microbiome abundance and disease phenotype.Results: The relative abundance of the genus Corynebacterium was significantly higher in the pneumonia than in the non-pneumonia group. The microbiome analysis revealed significantly lower α-diversity in the NHAI group than in the non-NHAI group. In the analysis of β-diversity, the structure of the microbiome also differed significantly between the two groups (weighted UniFrac distance, Adonis, P <0.001). The abundance of Corynebacterium was significantly higher, and the relative abundances of Granulicatella, Staphylococcus, Streptococcus and Veillonella were significantly lower, in the NHAI group than in the non-NHAI group. Conclusions: The microbiota signature of the ETAs distinguished between patients with and without risk factors for NHAI. The lung microbiome may serve as a therapeutic target for NHAI group.

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